math 225 linear algebra ii lecture notes
orthonormal bases. Inner products: definitions and properties Norms and orthogonality: orthogonal and orthonormal vectors Projection theorems: best approximation in least squares problems 6. Orthogonal Diagonalization and Spectral Theorem A powerful tool for symmetric matrices, leading